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Thank your for visiting my photoblog today. As mentioned in previous posts I’m an Apprentice in The Arcanum and to supplement my learning, I’ve reached out to multiple YouTube channels in the past. At first to learn my new (or wishlist) gear and now for image processing. The latter is the subject of today’s post.
Below are sample images created using Photoshop and the Topaz Labs – Glow plug-in. As I study a new technique for image processing, I immediately apply it to cement the learning. Often this takes multiple practice runs as believe me it’s hard to teach an old dog new tricks yet the dog keeps trying.
Blake Rudis’ video explains the above image processing technique in clear and precise terms which are summarized to lockdown the exchange between the teacher and the viewer. This is one of Blake’s forte as an artist turned photographer turned teacher. Thanks Blake.
Here are my sample images using the Topaz Labs Glow with its Neon “Glowing Wires II” preset. As you double-click to assess the inter-workings of the preset, 20+ sliders appear – wow now what. It’s a learning curve to understand what each slider does so I just throw it to the left then back to the right – okay now I understand. In the end, adjust to your artistic taste, no right or wrong.
So I’ve told you where I am today but how did I get here.
At first, I needed to expand my knowledge of Photography so I watched many YouTube videos being a visual-learning guy. This gave me the "breath" of knowledge yet I lacked the "depth" to become effective.
So I fine-tuned my YouTube channels to a few thus adding the "depth" to execute intermediate to advanced image processing.
My Breadth: Novice to Intermediate Learning Channels.
Welcome to my photoblog. Today we’re off topic to reveal the variation observed in Chennai Bus Stop seat heights. Why? As a photographer one observers the light, determines the subject, creates the composition,… which is the art of “seeing”.
Over my 40 years in the Quality profession, I’ve been challenged to get the mean (average) on target to the standard while reducing the variation (standard deviation) whether it was a product dimension, a business process output or a production process parameter. This has influenced me as to how I see the world.
As my eyes wander whether on a production shopfloor or the back seat of a vehicle, I’m always observing the environment and its variation. One item that caught my attention is the varying heights of bus stop seats.
The variation seen for Chennai bus stop seat heights is only “a reflection of Chennai’s unique character” which by the act of variation, creates those wrinkles of interest forming our Chennai memories.
Thanks for the memories.
I’ve observed the full spectrum of people waiting at Chennai bus stops with their “knees up in one’s torsal”, “legs in a full dangle” and “leaning against the seat” as it was too high to sit.
So I set out to understand the statistics of this issue with the premise that there must be assignable cause to the high variation and not just common cause variation one would observe in a normal distribution.
Extreme 1: 11″ Height in Action
Extreme 2: 36″ Height in Action
1)Frequency Count, Sample n=40
Given a p-Value of 0.013, the data failed the test for normality – not a normal distribution as the value is not > 0.050. There must be a special cause driving the
Mean 22.14′, StdDev 4.52, Min 11″, Median 22.5″ Max 36″
Inferences and Conclusion
I Googled the ergonomic dimensions for bench set heights finding a 17″-19″ targeted range.
If we accepted 18″ as our target then the 4″ shift on the sample average with a range of 25″ leads one to conclude we have special cause(s) at work as confirmed by a low p-value for normality. This variation is not normal.
I leave the root cause of the special variation to the readers.
After finishing this post, we found even a shorter bench seat height of 10″ for which I didn’t re-do the statistics. Is there one taller than 36″?